where MAX is the maximum possile pixel of the image. Since PSNR is highly related to MSE, a model trained with the MSE loss will be expected to have high PSNR scores. Although higher PSNR generally indicates that the construction is of higher quality, it just considers the per-pixel MSE, which makes it fails to capture the perceptual differences [1]}.
